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1
Intro
2
Agenda
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Natural Language Processing NLP
4
Accessibility
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Why Mobile
6
Challenges
7
The Yard Effect
8
Peak Performance
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Mobile Ecosystem
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ML Pipeline
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Mobile AI Platform
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Challenge
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Flexibility
14
Core Techniques
15
Mobile Hardware Landscape
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Kernel Libraries
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QM Pack
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Machine Learning Compiler
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Quantization
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Results
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Quantization Flow
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Benchmarking
23
Outro
Description:
Explore the challenges and opportunities of building a mobile-optimized machine learning platform in this 27-minute conference talk from F8 2019. Discover Facebook's approach to moving AI/ML technology from servers to edge devices, covering topics such as Natural Language Processing, video processing, speech recognition, and content understanding on mobile. Learn about the benefits of mobile AI, the "Yard Effect," and key techniques like quantization and machine learning compilers. Gain insights into the mobile hardware landscape, kernel libraries, and benchmarking strategies used to optimize AI performance on mobile devices.

Building a Mobile AI Platform at Facebook - F8 2019

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